## Summary
The sync `RemoteTable` carried `set_lsm_write_spec`,
`unset_lsm_write_spec`, `get_lsm_write_spec`, and `close_lsm_writers`,
but not `checkpoint_lsm`, `flush_lsm`, `compact_lsm`, or
`get_lsm_stats`.
That left the four LSM control methods reachable from `AsyncTable` only.
They are also the four that *only* work against a remote table —
`NativeTable` does not override the `BaseTable` defaults, so on a local
table they return `NotSupported` (`rust/lancedb/src/table.rs:679-701`).
The net effect for sync users:
| | `checkpoint_lsm` / `get_lsm_stats` |
|---|---|
| `LanceTable` (sync, local) | present, but always `NotSupported` |
| `RemoteTable` (sync, remote) | `AttributeError` — method absent |
| `AsyncTable` (remote) | works |
So there was no working sync path at all, despite the Rust `RemoteTable`
implementing every one of these against real endpoints.
## Changes
* Add `checkpoint_lsm`, `flush_lsm`, `compact_lsm`, and `get_lsm_stats`
to `lancedb.remote.table.RemoteTable`, mirroring the delegation style of
their neighbours.
* Correct the docstrings on `set_lsm_write_spec` /
`unset_lsm_write_spec`, which read `"""Not supported on LanceDB
Cloud."""` although `rust/lancedb/src/remote/table.rs:2549-2601`
implements both against `/v1/table/{}/set_lsm_write_spec/` and
`/unset_lsm_write_spec/`. They appear to have been copy-pasted from
`set_unenforced_primary_key` directly above.
No Rust or PyO3 changes — the bindings and the `AsyncTable` methods
already existed. The `Table` ABC is left alone, matching how the
existing `*_lsm_write_spec` methods are declared on the concrete classes
only.
## Tests
Four new tests in `python/python/tests/test_remote_db.py`, against the
existing mock HTTP server:
* `test_get_lsm_stats_sync` — the server payload round-trips into the
dict, and `include_generation_rows` defaults to `False` and is forwarded
when set.
* `test_get_lsm_stats_sync_returns_none_when_lsm_disabled` — a
`{"lsm_stats": null}` envelope yields `None` rather than an error.
* `test_flush_and_compact_lsm_sync` — both are one-shot POSTs answered
`202` with no body.
* `test_checkpoint_lsm_sync` — pins the binding to the endpoints it
drives (`flush_lsm` then `get_lsm_stats`); the convergence loop itself
is already covered in Rust.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
The Multimodal AI Lakehouse
How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors
The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
Demo: Multimodal Search by Keyword, Vector or with SQL
Star LanceDB to get updates!
Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
- Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.
Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
Join Us and Contribute
We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.
If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.
Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
